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ID:34172074
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时间:2019-03-04
《machine-learning-applicationsfor-datacenter-optimization-finalv2.pdf》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、MachineLearningApplicationsforDataCenterOptimizationJimGao,GoogleAbstractThemoderndatacenter(DC)isacomplexinteractionofmultiplemechanical,electricalandcontrolssystems.Thesheernumberofpossibleoperatingconfigurationsandnonlinearinterdependenciesmakeitdifficulttounderstandandoptimizeenergyefficiency.
2、WedevelopaneuralnetworkframeworkthatlearnsfromactualoperationsdatatomodelplantperformanceandpredictPUEwithinarangeof0.004+/0.005(meanabsoluteerror+/1standarddeviation),or0.4%errorforaPUEof1.1.ThemodelhasbeenextensivelytestedandvalidatedatGoogleDCs.Theresultsdemonstratethatmachinelearningisaneffect
3、ivewayofleveragingexistingsensordatatomodelDCperformanceandimproveenergyefficiency.1.IntroductionTherapidadoptionofInternetenableddevices,coupledwiththeshiftfromconsumersidecomputingtoSaaSandcloudbasedsystems,isacceleratingthegrowthoflargescaledatacenters(DCs).Drivenbysignificantimprovementsinhard
4、wareaffordabilityandtheexponentialgrowthofBigData,themodernInternetcompanyencompassesawiderangeofcharacteristicsincludingpersonalizeduserexperiencesandminimaldowntime.Meanwhile,popularhostingservicessuchasGoogleCloudPlatformandAmazonWebServiceshavedramaticallyreducedupfrontcapitalandoperatingcosts
5、,allowingcompanieswithsmallerITresourcestoscalequicklyandefficientlyacrossmillionsofusers.ThesetrendshaveresultedintheriseoflargescaleDCsandtheircorrespondingoperationalchallenges.Oneofthemostcomplexchallengesispowermanagement.GrowingenergycostsandenvironmentalresponsibilityhaveplacedtheDCindustry
6、underincreasingpressuretoimproveitsoperationalefficiency.AccordingtoKoomey,DCscomprised1.3%oftheglobalenergyusagein2010[1].Atthisscale,evenrelativelymodestefficiencyimprovementsyieldsignificantcostsavingsandavertmillionsoftonsofcarbonemissions.WhileitiswellknownthatGoogleandothermajorInternetcompa
7、nieshavemadesignificantstridestowardsimprovingtheirDCefficiency,theoverallpaceofPUEreductionhasslowedgivendiminishingreturnsandthelimitationsofexistingcoolingtechnology[2].Furthermore,bestpracticetechniquessuchas
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